DEVELOPMENT... OpenML
Run
24895

Run 24895

Task 7 (Supervised Classification) audiology Uploaded 19-07-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(1)_I10
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9597
Per class
F measure
0.7798
Per class
Kappa
0.762
KB relative information score
163.5818
Mean absolute error
0.0166
Mean prior absolute error
0.0724
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7675
Per class
Predictive accuracy
0.7965
Prior entropy
3.6349
Recall
0.7965
Per class
Relative absolute error
0.229
Root mean prior squared error
0.1893
Root mean squared error
0.1162
Root relative squared error
0.6137
SciMark benchmark
941.3852[559.41007791153281003.6223601196305480.6364546036713908.32989414330441754.9271701211055]